The head of Germany’s Federal Cartel Office, Andreas Mundt, has issued a stark warning about emerging competition concerns within the burgeoning field of artificial intelligence, highlighting the potential for entrenched dominance by existing tech giants. In an interview with “Handelsblatt”, Mundt articulated a fundamental imbalance, asserting that large technology corporations currently hold a significant advantage across nearly every facet of AI development.
The core of the problem, according to Mundt, lies in the control of critical infrastructure: cloud computing resources, access to vast datasets and the availability of substantial capital. Companies like Google, with its search engine and YouTube platform and Meta, with its dominance of social media, possess an unparalleled advantage in accumulating and leveraging data – a crucial ingredient for AI training and refinement. Genuine competition, Mundt conceded, appears limited primarily to the realm of foundational models, the underlying architecture upon which applications like ChatGPT and similar language models are built.
Mundt’s assessment carries significant political weight, prompting calls for a reassessment of European economic policy to proactively address these power dynamics. He emphasized that while fostering open markets remains a priority, purely relying on competition law will not suffice. A full-fledged Capital Markets Union within the EU, he argued, is essential to facilitate the funding and growth of AI start-ups, enabling them to compete effectively against established players.
However, Mundt’s concerns extend beyond simple funding disparities. He cautioned that seemingly well-intentioned regulatory interventions, such as the proposed AI Act, risk inadvertently solidifying existing market structures. While acknowledging the importance of rules governing AI to build trust and mitigate potential risks, he warned that stringent regulations could disproportionately burden smaller companies, mirroring the experience with the General Data Protection Regulation (GDPR). The GDPR, originally intended to protect user privacy, has been criticized for imposing a heavier compliance burden on smaller firms, thus reinforcing the advantage of larger, wealthier corporations already equipped to manage complex regulatory frameworks. Mundt’s warning underscores a critical juncture in the AI landscape, demanding a nuanced and politically sensitive approach to regulation that promotes innovation and fair competition, rather than inadvertently entrenching the power of a few dominant players.



